You are an architect supporting the iteration phase of a deployed Claude-based system.Which activity most directly fits this phase?
Answer(s): D
Iteration is an evidence-driven lifecycle phase. Option D combines three essential inputs: production telemetry, sampled output evaluation, and stakeholder feedback. Telemetry exposes latency, cost, errors, tool failures, retrieval behavior, and operational anomalies. Output sampling identifies quality, safety, grounding, or consistency failures that infrastructure metrics may not reveal. Stakeholder feedback establishes whether the system continues to satisfy real business and user needs.The architect should prioritize the highest-impact validated problem, define the intended improvement, and test the proposed change against the existing evaluation framework and reference set. Anthropic emphasizes that evaluations make behavioral changes visible before they affect users and that their value compounds throughout an agent's lifecycle. Demystifying Evals for AI AgentsOption A replaces targeted iteration with unnecessary redesign. Option B incorrectly treats deployment as the end of measurement. Option C removes the baseline needed to distinguish genuine improvement from regression or noise.A mature iteration cycle preserves evaluation continuity, adds production failures as new test cases, validates changes offline, conducts controlled rollout, monitors results, and updates documentation and known limitations.Study Guide references/topics: Production iteration; telemetry; sampled evaluation; stakeholder feedback; regression testing; evaluation continuity; change prioritization.
You are preparing a HIPAA-eligible deployment for a healthcare customer.Which configuration supports HIPAA compliance using Anthropic-offered tools?
Answer(s): B
Option B is the only configuration establishing the contractual, data-handling, and audit foundations needed for a HIPAA-eligible deployment. Anthropic requires an eligible commercial organization to activate the HIPAA-ready configuration and accept a Business Associate Agreement. A standard Enterprise subscription is not automatically covered merely because it is an enterprise product. Anthropic BAA GuidanceZero Data Retention may be required for particular covered services, including eligible Claude Code configurations, and is enabled per organization for qualified accounts. Audit logging supports access review, configuration monitoring, incident investigation, and compliance evidence. Anthropic provides audit logs for Enterprise organizations. Claude Code Legal and Compliance, Access Audit LogsOptions A and D use consumer or personal accounts without the required contractual framework. Option C incorrectly treats the elimination of audit evidence as a substitute for a BAA and compliant configuration.The signed BAA remains the authoritative source for covered products and features. The customer must also configure access control, minimum-necessary data use, workforce policies, retention, integrations, incident response, and vendor-risk controls. The configuration supports compliance; it does not independently guarantee it.Study Guide references/topics: HIPAA readiness; BAA; ZDR; PHI handling; audit logging; eligible services; shared compliance responsibility.
You are distinguishing functional from non-functional requirements during discovery.Which item is a non-functional requirement?
Option D defines a measurable performance characteristic rather than a business capability. The requirement specifies a percentile-based latency threshold---under 800 milliseconds at the 95th percentile---and ties that threshold to the expected workload volume. It therefore describes how well the system must operate under defined conditions.Options A, B, and C are functional requirements. They describe actions the solution must perform: extracting fields and creating a downstream record, producing an editable draft, and assigning tickets to categories. Functional requirements define observable system behaviors or outputs.A strong non-functional requirement must include a metric, threshold, measurement method, and operating condition. For Option D, the architect should further define whether latency is measured end-to-end or only at the model API, the test duration, concurrency, input-size distribution, cache state, timeout behavior, geographic region, and treatment of failed requests. Without those details, teams may report incompatible results while claiming to satisfy the same requirement.Non-functional requirements for Claude solutions commonly address latency, availability, throughput, cost, privacy, security, recoverability, observability, scalability, and regulatory compliance.Study Guide references/topics: Structured discovery; functional requirements; non-functional requirements; p95 latency; workload conditions; measurable acceptance criteria.
MULTIPLE CHOICEThe compliance team at a firm has approved a Claude Skill that generates client-facing investment summaries. The Skill includes the firm's required disclaimers and prohibited-language list. A product manager has asked whether additional guardrails are needed at the application layer or whether the Skill alone is sufficient.Which two guardrail responsibilities should remain at the application layer rather than the Skill? (Select two.)Each correct answer presents part of the solution.
Answer(s): A,B
Authorization and compliance logging must remain enforceable application-layer controls. Option B requires the application to authenticate the requester, resolve the user's role and entitlements, and deny the operation when the user lacks authority. A Skill can instruct Claude how to behave, but it is not a reliable security boundary and cannot replace identity-based access control enforced by the surrounding system.Option A similarly belongs at the application layer. The application must create an authoritative audit event containing the requester, timestamp, Skill and model version, relevant input or content identifiers, generated output, review status, and retention classification. Audit evidence cannot depend on whether the model remembers or chooses to invoke a logging instruction.Options C, D, and E describe reusable generation behavior that appropriately belongs within the approved Skill: house style, the standardized disclaimer, and the prohibited-language policy. The application may still validate their presence after generation, but the Skill remains the primary reusable content package.The correct architecture separates behavioral guidance from deterministic enforcement. Skills supply domain instructions and templates; the application enforces identity, authorization, audit retention, data access, output validation, and consequential-action controls.Study Guide references/topics: Skills versus application controls; authentication; authorization; compliance logging; deterministic guardrails; policy enforcement boundaries.
Your development team is onboarding to Claude for a new product initiative. They have varying experience levels, from AI-savvy engineers to traditional backend developers unfamiliar with LLM patterns. The team needs to move quickly while avoiding common integration mistakes, hallucination risks, and prompt design errors. You are responsible for enabling team productivity.What practices and tools should you implement to support the development team?
Developer productivity enablement requires shared infrastructure, knowledge, and tooling—not just documentation or specialized oversight. A shared prompt library with tested patterns reduces mistakes, accelerates development, and creates consistency. Code templates and integration patterns help junior developers avoid common pitfalls. Internal guardrails (like token limits, safety constraints, and error handling) embed best practices into development workflow. Review processes for Claude-facing code catch issues before production. Team training on prompt design and evaluation methods upskills the whole organization. This approach scales without requiring a bottleneck of specialized review. Relying only on documentation is insufficient for mixed experience levels. Hiring a specialist creates a single point of failure and slows development. Overly strict approval workflows don't enhance quality; they inhibit agility.
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